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  • Install functorch
  • Whirlwind Tour
  • UX Limitations
  • functorch
  • functorch.experimental
    • functorch.compile (experimental)
    • Jacobians, Hessians, hvp, vhp, and more: composing functorch transforms
    • Model ensembling
    • Per-sample-gradients
    • Neural Tangent Kernels
    • AOT Autograd - How to use and optimize?
    • Using the Minifier
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  • X
  • GitHub
  • PyTorch Forum
  • PyPi
  • Install functorch
  • Whirlwind Tour
  • UX Limitations
  • functorch
  • functorch.experimental
  • functorch.compile (experimental)
  • Jacobians, Hessians, hvp, vhp, and more: composing functorch transforms
  • Model ensembling
  • Per-sample-gradients
  • Neural Tangent Kernels
  • AOT Autograd - How to use and optimize?
  • Using the Minifier
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  • PyTorch Forum
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Index

A | C | D | F | G | H | J | M | N | T | V

A

  • aot_function() (in module functorch.compile)
  • aot_module() (in module functorch.compile)

C

  • combine_state_for_ensemble() (in module functorch)

D

  • default_partition() (in module functorch.compile)

F

  • functionalize() (in module functorch)

G

  • grad() (in module functorch)
  • grad_and_value() (in module functorch)

H

  • hessian() (in module functorch)

J

  • jacfwd() (in module functorch)
  • jacrev() (in module functorch)
  • jvp() (in module functorch)

M

  • make_functional() (in module functorch)
  • make_functional_with_buffers() (in module functorch)
  • memory_efficient_fusion() (in module functorch.compile)
  • min_cut_rematerialization_partition() (in module functorch.compile)

N

  • nop() (in module functorch.compile)

T

  • ts_compile() (in module functorch.compile)

V

  • vjp() (in module functorch)
  • vmap() (in module functorch)
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